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Multi-step ahead probabilistic runoff forecasting with SHAP interpretability: a GPR-enhanced deep learning ensemble approach integrating teleconnection factors

Feilin Zhu, Tiantian Hou, Ou Zhu, Yitong Sun, Weifeng Liu, Lingqi Zhao, Xuning Guo, Min Li, Ping‐an Zhong

2025Environmental Modelling & Software9 citationsDOI

Topics & Concepts

InterpretabilityProbabilistic logicGround-penetrating radarTeleconnectionArtificial intelligenceComputer scienceMachine learningDeep learningEnvironmental scienceMeteorologyClimatologyGeologyGeographyRadarEl Niño Southern OscillationTelecommunicationsHydrological Forecasting Using AIHydrology and Watershed Management StudiesGroundwater flow and contamination studies
Multi-step ahead probabilistic runoff forecasting with SHAP interpretability: a GPR-enhanced deep learning ensemble approach integrating teleconnection factors | Litcius